Method and apparatus for assessing cardiopulmonary fitness

• US 10,600,330 B2
• Filed: 08/22/2016
• Issued: 03/24/2020
• Est. Priority Date: 04/04/2016
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Jang, Dae-Geun, Ko, Byunghoon, Bae, SangKon
• Primary Examiner(s): Yen, Jason T
• Application Number:
  US15/243,547
• Publication Number:
  US 20170282011A1
• Time in Patent Office: 1,310 Days
• Field of Search: None
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2560/029 adapted for auto-initiation
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/7271 Specific aspects of physiological measurement analysis A61B5/316, A61B5/349 and A61B5/374 take precedence
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G09B 5/02 with visual presentation of the material to be studied, e.g. using film strip
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A method and an apparatus for assessing cardiopulmonary fitness of a user are provided. A method of assessing cardiopulmonary fitness involves measuring a biosignal of a user performing an activity, measuring an exercise intensity of the activity, determining a parameter based on the biosignal and the exercise intensity, estimating a cardiopulmonary fitness index based on the parameter, and assessing the cardiopulmonary fitness of the user based on the cardiopulmonary fitness index.

Claims

1. A processor-implemented method of assessing cardiopulmonary fitness, the method comprising:

determining, using one or more processors, whether a biosignal of a user performing a self-regulated activity reaches a preset threshold;

in response to the biosignal reaching the preset threshold, measuring, using one or more sensors, the biosignal and measuring, using one or more other sensors, an exercise intensity of the activity from when the biosignal reaches the preset threshold;

determining, using the one or more processors, a relative biosignal by adjusting a level of the measured biosignal based on the measured exercise intensity;

estimating, using the one or more processors, a cardiopulmonary fitness index based on the determined relative biosignal;

assessing, using the one or more processors, the cardiopulmonary fitness of the user based on the cardiopulmonary fitness index;

generating, using the one or more processors, either one or both of a personalized exercise program and a healthcare recommendation for the user based on a result of the cardiopulmonary fitness assessment; and

outputting, to a communication interface, the either one or both of the exercise program and the healthcare recommendation for the user.

2. The method of claim 1, further comprising receiving an exercise perception level of the user,

wherein the measuring of the biosignal comprises measuring the biosignal in response to a determination that the exercise perception level reaches a preset standard.

3. The method of claim 2, wherein the measuring of the exercise intensity comprises measuring the exercise intensity in response to a determination that the exercise perception level reaches the preset standard.

4. The method of claim 1, wherein the biosignal of the user comprises either one or both of a heart rate and a respiration rate.

5. The method of claim 1, wherein the exercise intensity comprises any one or any combination of any two or more of an exercise speed, an exercise distance, and revolutions per minute (RPM).

6. The method of claim 1, wherein the determining of the relative biosignal comprises calculating the relative biosignal based on a value obtained by dividing the biosignal by the exercise intensity.

7. The method of claim 1, further comprising:

receiving user information,

wherein the estimating comprises estimating the cardiopulmonary fitness index based on either one or both of the relative biosignal and the user information.

8. The method of claim 7, wherein the user information comprises any one or any combination of any two or more of a gender, an age, a height, a weight, a waist measurement, a waist-hip ratio, a body mass index, and a physical activity level of the user.

9. The method of claim 1, wherein the cardiopulmonary fitness index of the user comprises any one or any combination of any two or more of maximal oxygen consumption, a maximal heart rate, a ventilation threshold, and a lactate threshold.

10. The method of claim 1, further comprising:

comparing the assessed cardiopulmonary fitness to a preset cardiopulmonary fitness reference value; and

providing the user with a result of the comparing.

11. The method of claim 1, further comprising:

estimating a metabolic disease risk index of the user based on the assessed cardiopulmonary fitness of the user; and

providing the user with a health care prescription based on the metabolic disease risk index of the user.

12. The method of claim 1, wherein the outputting comprises providing the user with the personalized exercise program.

13. The method of claim 12, further comprising receiving preference information of the user, wherein the generating of the personal exercise program further comprises:

selecting a template from the preset exercise program templates based on the preference information;

adjusting an exercise intensity and an exercise duration of the selected template based on the assessed cardiopulmonary fitness of the user; and

generating the personalized exercise program based on the adjusted exercise intensity and the adjusted exercise duration of the selected template.

14. The method of claim 1, wherein the generating of the either one or both of the personalized exercise program and the healthcare recommendation further includes:

adjusting an exercise intensity and an exercise duration of a selected template based on the assessed cardiopulmonary fitness of the user, the selected template being selected, based on preference information of the user, from among the preset exercise program templates; and

generating the personalized exercise program based on the adjusted exercise intensity and the adjusted exercise duration of the selected template.

15. A processor-implemented method of assessing cardiopulmonary fitness, the method comprising:

determining, using one or more processors, whether a biosignal of a user performing a self-regulated activity reaches a preset threshold;

in response to the biosignal reaching the preset threshold, measuring, using one or more sensors, the biosignal and measuring, using one or more other sensors, an exercise intensity of the activity from when the biosignal reaches the preset threshold;

determining, using the one or more processors, a relative biosignal by adjusting a level of the measured biosignal based on the measured exercise intensity;

estimating, using the one or more processors, a cardiopulmonary fitness index based on the determined relative biosignal;

assessing, using the one or more processors, the cardiopulmonary fitness of the user based on the cardiopulmonary fitness index;

receiving, through a communication interface, preference information of the user;

selecting, using the one or more processors, a template from preset exercise program templates based on the preference information;

adjusting, using the one or more processors, an exercise intensity and an exercise duration of the selected template based on the assessed cardiopulmonary fitness of the user; and

generating, using the one or more processors, a personalized exercise program based on the adjusted exercise intensity and the adjusted exercise duration of the selected template; and

outputting, to the communication interface, the personalized exercise program.

16. A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform a method of assessing cardiopulmonary fitness, the method comprising:

determining whether a biosignal of a user performing a self-regulated activity reaches a preset threshold;

in response to the biosignal reaching the preset threshold, measuring, using one or more sensors, the biosignal and measuring, using one or more other sensors, an exercise intensity of the activity from when the biosignal reaches the preset threshold;

determining a relative biosignal by adjusting a level of the measured biosignal based on the measured exercise intensity;

estimating a cardiopulmonary fitness index based on the determined relative biosignal;

assessing the cardiopulmonary fitness of the user based on the cardiopulmonary fitness index;

generating either one or both of a personalized exercise program and a healthcare recommendation for the user based on a result of the cardiopulmonary fitness assessment; and

outputting, to a communication interface, the either one or both of the exercise program and the healthcare recommendation for the user.

17. An apparatus for assessing cardiopulmonary fitness, the apparatus comprising:

one or more processors configured to;

determine whether a biosignal of a user performing a self-regulated activity reaches a preset threshold;

in response to the biosignal reaching the preset threshold, use one or more sensors to measure the biosignal and use one or more other sensors to measure an exercise intensity of the activity from when the biosignal reaches the preset threshold;

determine a relative biosignal by adjusting a level of the measured biosignal based on the measured exercise intensity;

assess the cardiopulmonary fitness of the user based on a cardiopulmonary fitness index estimated based on the parameter;

generate either one or both of a personalized exercise program and a healthcare recommendation for the user based on a result of the cardiopulmonary fitness assessment; and

output, to a communication interface, the either one or both of the exercise program and the healthcare recommendation for the user.

18. The apparatus of claim 17, further comprising:

an input device configured to receive an exercise perception level of the user,

wherein the one or more processors are configured to determine whether the exercise perception level reaches a preset standard, and

the measurer is configured to measure the biosignal and the exercise intensity of the activity in response to a determination that the exercise perception level reaches the preset standard.

19. The apparatus of claim 17, further comprising:

a communication interface configured to receive user information,

wherein the one or more processors are configured to determine the parameter based on a value obtained by dividing the biosignal by the exercise intensity and estimate the cardiopulmonary fitness index of the user based on either one or both of the parameter and the user information.

20. A processor-implemented method of assessing cardiopulmonary fitness, the method comprising:

determining whether a biosignal of a user performing a self-regulated activity reaches a preset threshold;

in response to the biosignal reaching the preset threshold, measuring the biosignal using one or more sensors from when the biosignal reaches the preset threshold;

determining a relative biosignal by adjusting a level of the measured biosignal based on an exercise intensity of the activity;

assessing the cardiopulmonary fitness of the user based on the determined relative biosignal;

generating either one or both of a personalized exercise program and a healthcare recommendation for the user based on a result of the cardiopulmonary fitness assessment; and

outputting, to a communication interface, the either one or both of the exercise program and the healthcare recommendation for the user.

21. The method of claim 20, wherein the assessing of the cardiopulmonary fitness comprises obtaining a value corresponding to the biosignal divided by the exercise intensity.

22. The method of claim 20, wherein the assessing of the cardiopulmonary fitness comprises:

calculating a relative heart rate of the user based on the biosignal and the exercise intensity; and

estimating a cardiopulmonary fitness index of the user based on user information.

23. The method of claim 20, wherein the determining of the exercise intensity comprises receiving information from one or more other sensors of a wearable device during the activity, and calculating the exercise intensity from the received information.